| Model-based reinforcement learning with value-targeted regression A Ayoub, Z Jia, C Szepesvari, M Wang, L Yang International Conference on Machine Learning, 463-474, 2020 | 326 | 2020 |
| Minimax-optimal off-policy evaluation with linear function approximation Y Duan, Z Jia, M Wang International Conference on Machine Learning, 2701-2709, 2020 | 163 | 2020 |
| Model-based reinforcement learning with value-targeted regression Z Jia, L Yang, C Szepesvari, M Wang Learning for Dynamics and Control, 666-686, 2020 | 69 | 2020 |
| Feature-based q-learning for two-player stochastic games Z Jia, LF Yang, M Wang arXiv preprint arXiv:1906.00423, 2019 | 59 | 2019 |
| Intrinsic dimension estimation using Wasserstein distances A Block, Z Jia, Y Polyanskiy, A Rakhlin arXiv preprint arXiv:2106.04018, 2021 | 14 | 2021 |
| Rate of convergence of the smoothed empirical Wasserstein distance A Block, Z Jia, Y Polyanskiy, A Rakhlin arXiv preprint arXiv:2205.02128, 2022 | 5 | 2022 |
| When is agnostic reinforcement learning statistically tractable? Z Jia, G Li, A Rakhlin, A Sekhari, N Srebro Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Entropic characterization of optimal rates for learning Gaussian mixtures Z Jia, Y Polyanskiy, Y Wu The Thirty Sixth Annual Conference on Learning Theory, 4296-4335, 2023 | 4 | 2023 |
| Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data Z Jia, A Rakhlin, A Sekhari, CY Wei arXiv preprint arXiv:2403.17091, 2024 | 2 | 2024 |
| Search direction correction with normalized gradient makes first-order methods faster Y Wang, Z Jia, Z Wen SIAM Journal on Scientific Computing 43 (5), A3184-A3211, 2021 | 2 | 2021 |
| Towards solving 2-TBSG efficiently Z Jia, Z Wen, Y Ye Optimization Methods and Software 35 (4), 706-721, 2020 | 2 | 2020 |
| Linear reinforcement learning with ball structure action space Z Jia, R Jia, D Madeka, DP Foster International Conference on Algorithmic Learning Theory, 755-775, 2023 | 1 | 2023 |
| Non-parametric threshold for smoothed empirical Wasserstein distance Z Jia Massachusetts Institute of Technology, 2022 | | 2022 |
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton University在 princeton.edu 的电子邮件经过验证
